考虑蛋白质 - 连接体对接中的构造变异性,并使用NMR引导的重复对应
Lars Skjærven1, Luca Codutti, Andrea Angelini
1EMBL, Structural and Computational Biology Unit, Meyerhofstrasse 1, D-69117 Heidelberg, Germany.
Journal of the American Chemical Society
|April 10, 2013
概括
这项研究引入了一种使用核磁共振 (NMR) 衍生NOE的新型得分协议,以提高蛋白质-联体对接的准确性. 该方法通过将实验数据与计算建模集成以进行可靠的相互作用预测,从而增强基于结构的药物设计.
科学领域:
- 生物化学 生物化学
- 结构生物学 结构生物学
- 计算化学计算化学
背景情况:
- 准确的蛋白质-连接体相互作用数据对于基于结构的药物设计至关重要.
- 核磁共振 (NMR) 技术比X射线结晶学和计算对接提供了优势.
- 当前计算对接方法的局限性需要改进的评分协议.
研究的目的:
- 为了介绍一种新的蛋白质 - 配体对接的评分协议.
- 为了利用NMR衍生的互联核重置效应 (NOE) 数据来指导对接模式的选择.
- 在具有挑战性的场景中提高计算对接的可靠性.
主要方法:
- 开发一个基于NMR衍生的交联NOE的评分协议.
- 该协议应用于计算生成的对接模式.
- 在各种场景中验证,包括同质模型和域重组.
- 使用来自多个连接体对的共识解决方案来解决实验的模两可.
主要成果:
- 新协议有效指导精确的对接模式的选择.
- 在困难的情况下表现出性能,例如对接到同质模型.
- 成功地解决了来自稀疏实验数据的模两可.
- 展示了分子建模与实验性NMR数据的整合.
结论:
- 提出的协议提供了分子建模和实验性NMR数据的新整合.
- 交联体NOE是rescoring算法的关键,提高了对接准确度.
- 该协议广泛适用于超出药物设计的蛋白质-连接体对接.
- 突出了基于NMR的方法在表征分子间相互作用方面的重要作用.
相关概念视频
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Binding sites are often located in large pockets, and if their location on a protein’s surface is unknown, it can be predicted using various approaches. The energetic method computationally analyses the...
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